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Alexander N. Tselykh
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- affiliation: Southern Federal University, Rostov-on-Don, Russia
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2020 – today
- 2022
 [j6]Alexander N. Tselykh [j6]Alexander N. Tselykh , Vladislav Vasilev , Vladislav Vasilev , Larisa A. Tselykh , Larisa A. Tselykh , Fernando A. F. Ferreira , Fernando A. F. Ferreira : :
 Influence control method on directed weighted signed graphs with deterministic causality. Ann. Oper. Res. 311(2): 1281-1305 (2022)
 [j5]Ashutosh Sharma [j5]Ashutosh Sharma , Mikhail Georgi, Maxim Tregubenko, Alexey A. Tselykh, Alexander N. Tselykh: , Mikhail Georgi, Maxim Tregubenko, Alexey A. Tselykh, Alexander N. Tselykh:
 Enabling smart agriculture by implementing artificial intelligence and embedded sensing. Comput. Ind. Eng. 165: 107936 (2022)
 [j4]Ashutosh Sharma [j4]Ashutosh Sharma , Alexey A. Tselykh, Elizaveta Podoplelova, Alexander N. Tselykh: , Alexey A. Tselykh, Elizaveta Podoplelova, Alexander N. Tselykh:
 Knowledge-oriented methodologies for causal inference relations using fuzzy cognitive maps: A systematic review. Comput. Ind. Eng. 171: 108500 (2022)
- 2020
 [j3]Alexander N. Tselykh [j3]Alexander N. Tselykh , Vladislav Vasilev , Vladislav Vasilev , Larisa A. Tselykh , Larisa A. Tselykh : :
 Assessment of influence productivity in cognitive models. Artif. Intell. Rev. 53(7): 5383-5409 (2020)
2010 – 2019
- 2019
 [j2]Alexander N. Tselykh [j2]Alexander N. Tselykh , Vladislav Vasilev , Vladislav Vasilev , Larisa A. Tselykh , Larisa A. Tselykh : :
 Management of Control Impacts Based on Maximizing the Spread of Influence. Int. J. Autom. Comput. 16(3): 341-353 (2019)
 [c6]Alexander N. Tselykh [c6]Alexander N. Tselykh , Larisa A. Tselykh , Larisa A. Tselykh , Vladislav Vasilev , Vladislav Vasilev : :
 Knowledge discovery model based on the effective control theory for decision support systems. INDIN 2019: 1668-1673
 [c5]Alexander N. Tselykh, Vladislav Vasilev [c5]Alexander N. Tselykh, Vladislav Vasilev , Larisa A. Tselykh , Larisa A. Tselykh : :
 Managing influence in complex systems to ensure safety of their operation. SIN 2019: 1:1-1:6
- 2018
 [j1]Alexander N. Tselykh [j1]Alexander N. Tselykh , Larisa A. Tselykh , Larisa A. Tselykh , Vladislav Vasilev , Vladislav Vasilev , Simon Barkovskii: , Simon Barkovskii:
 Knowledge discovery using maximization of the spread of influence in an expert system. Expert Syst. J. Knowl. Eng. 35(6) (2018)
- 2016
 [c4]Alexey A. Tselykh, Margarita Knyazeva, Elena Popkova, Antonina Durfee, Alexander N. Tselykh: [c4]Alexey A. Tselykh, Margarita Knyazeva, Elena Popkova, Antonina Durfee, Alexander N. Tselykh:
 An Attributed Graph Mining Approach to Detect Transfer Pricing Fraud. SIN 2016: 72-75
- 2015
 [c3]S. S. Alkhasov, Alexander N. Tselykh, Alexey A. Tselykh: [c3]S. S. Alkhasov, Alexander N. Tselykh, Alexey A. Tselykh:
 Application of cluster analysis for the assessment of the share of fraud victims among bank card holders. SIN 2015: 103-106
 [c2]Margarita Knyazeva, Alexander N. Tselykh, Alexey A. Tselykh, Elena Popkova: [c2]Margarita Knyazeva, Alexander N. Tselykh, Alexey A. Tselykh, Elena Popkova:
 A graph-based data mining approach to preventing financial fraud: a case study. SIN 2015: 109-113
- 2013
 [c1]Nikolay Sergeev, Alexey A. Tselykh, Alexander N. Tselykh: [c1]Nikolay Sergeev, Alexey A. Tselykh, Alexander N. Tselykh:
 Generalized approach to modeling user activity graphs for network security and public safety monitoring. SIN 2013: 117-122
Coauthor Index

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